Applied AI ML Senior Associate

You will be joining a dynamic and growing team in a fast-paced and challenging area, where you will have the unique opportunity to apply your skills and have a direct impact on global business. Your role as an Applied AI ML Senior Associate at JPMorgan Chase within the Corporate Oversight and Governance Technology AI/ML team will involve working as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable manner. **Key Responsibilities:** - Work with product managers, data scientists, ML engineers, and other stakeholders to understand requirements. - Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives. - Develop and maintain pipelines for infrastructure provisioning on public cloud. - Develop and maintain pipelines for model deployment, ensuring scalability, reliability, and efficiency. - Design inference architectures and implement improvements to enhance performance. - Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences. - Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality. **Qualification Required:** - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 3+ years of demonstrated experience in applied AI/ML engineering, with a track record of designing, developing, and deploying solutions in production. - Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API. - Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, Scikit-learn, OpenAI, etc. - Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization. - Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects. This role also offers the opportunity to work with traditional AI/ML techniques as well as GenAI. Additionally, familiarity with financial services industries, a portfolio showcasing successful applications of generative models in NLP projects, including examples of utilizing OpenAI APIs for prompt engineering, and experience with Infrastructure-as-code tools are preferred qualifications for this position.,